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A Diagnosis Method for Lining Structure Conditions of Operated Tunnels Based on Asymmetric Closeness Degree
1 Key Laboratory for Highway Bridge and Tunnel Engineering of Shaanxi, Chang'an University 2 Department of Civil and Environmental Engineering, Virginia Polytechnic Institute and State University 3 Wenzhou Traffic Engineering Consulting Management Co., Ltd
Abstract In order to evaluate the condition of tunnel lining structures in operation, a diagnosis index system composed of a target layer, factors layer and index layer was established by applying the concept of analytic hierarchy process to determine four evaluation grades for operated tunnel lining structure conditions. The non-dimensional evaluation criteria for each diagnosis index was determined by using the range transformation method, and an evaluation model for judging the condition of the tunnel structure based on the asymmetric closeness degree was set up by applying the fuzzy theory, the gray system theory and the information entropy theory. The project demonstrates that the evaluation model can properly reflect the real condition of the tunnel lining structure. The comprehensive index weights determined by the improved gray relevancy method and entropy value method can overcome the shortcomings of subjective arbitrariness and increase the reliability of weight coefficients, and the analysis based on the asymmetric closeness degree guarantees that the diagnostic results are more consistent with the objective reality.
Abstract：
In order to evaluate the condition of tunnel lining structures in operation, a diagnosis index system composed of a target layer, factors layer and index layer was established by applying the concept of analytic hierarchy process to determine four evaluation grades for operated tunnel lining structure conditions. The non-dimensional evaluation criteria for each diagnosis index was determined by using the range transformation method, and an evaluation model for judging the condition of the tunnel structure based on the asymmetric closeness degree was set up by applying the fuzzy theory, the gray system theory and the information entropy theory. The project demonstrates that the evaluation model can properly reflect the real condition of the tunnel lining structure. The comprehensive index weights determined by the improved gray relevancy method and entropy value method can overcome the shortcomings of subjective arbitrariness and increase the reliability of weight coefficients, and the analysis based on the asymmetric closeness degree guarantees that the diagnostic results are more consistent with the objective reality.
.A Diagnosis Method for Lining Structure Conditions of Operated Tunnels Based on Asymmetric Closeness Degree[J] MODERN TUNNELLING TECHNOLOGY, 2015,V52(2): 52-58
2015, Vol. 52 